Application Performance Monitoring
To view application performance metrics (APM) for the application, click the application name on the application tile.
The following diagram describes elements of the APM view.
Getting Started with Streaming Analytics
Also available as:
- Building an End-to-End Stream Application
- Prepare Your Environment
- Creating a Dataflow Application
- Pick your Streaming Engine
- Creating a Streaming Analytics Application with SAM
- Creating a Stream Analytics Application with SAM
- Two Options for Creating the Streaming Analytics Applications
- Creating a Service Pool and Environment
- Creating Your First Application
- Creating and Configuring the Kafka Source Stream
- Connecting Components
- Joining Multiple Streams
- Filtering Events in a Stream using Rules
- Using Aggregate Functions over Windows
- Implementing Business Rules on the Stream
- Transforming Data using a Projection Processor
- Streaming Alerts to an Analytics Engine for Dashboarding
- Streaming Violation Events to an Analytics Engine for Descriptive Analytics
- Streaming Violation Events into a Data Lake and Operational Data Store
- Deploy a SAM Application
- Advanced: Performing Predictive Analytics on the Stream using SAM
- Logistical Regression Model
- Export the Model into SAM's Model Registry
- Enrichment and Normalization of Model Features
- Upload Custom Processors and UDFs for Enrichment and Normalization
- Scoring the Model in the Stream using a Streaming Split Join Pattern
- Streaming Split Join Pattern
- Score the Model Using the PMML Processor and Alert
- Creating Visualizations Using Superset
- SAM Test Mode
- Four Test Cases using SAM’s Test Mode
- Test Case 1: Testing Normal Event with No Violation Prediction
- Analyzing Test Case 1 Results
- Test Case 2: Testing Normal Event with Yes Violation Prediction
- Analyzing Test Case 2 Results
- Test Case 3: Testing Violation Event
- Analyzing Test Case 3 Results
- Test Case 4: Testing Multiple-Speeding-Events
- Analyzing Test Case 4 Results
- Running SAM Test Cases as Junit Tests in CI Pipelines
- Four Test Cases using SAM’s Test Mode
- Creating Custom Sources and Sinks
- Stream Operations
- Troubleshooting and Debugging a Stream Application
- Creating a Stream Analytics Application with SAM
- Spark Streaming
- Running the Stream Simulator
- Managing Kafka with Streams Messaging Manager